This site is deprecated and no longer maintained. Please visit the new site for up-to-date information.

This site is deprecated and no longer maintained. Please visit the new site for up-to-date information.

Style Recommendation for Fashion Items using Heterogeneous Information Network

From IDSlab

Jump to: navigation, search
Recent | By Year | By Topic | Only SCI or SCIE | In Journal | In Conference | Tabular Form | Search
Title Style Recommendation for Fashion Items using Heterogeneous Information Network
Authors

Hanbit Lee, Sang-goo Lee

Date 2015-9
Keywords Recommendation, Style, Fashion product, Heterogeneous graph
Acknowledgement SRC
Publication Type International Conference
Publication Info Recommender Systems 2015 (RecSys2015) , Volume , Page
Conference Info
Publisher
SCIE
Other Information ISBN:
ISSN:
Link DOI
Download Media:SecureFile-RecSys201509.pdf
Related Research
Related Project


Abstract (Korean)



Abstract (English)
In the midst of vast amounts of available fashion items, consumers today require more efficient recommendation services. A system that sorts out items that form a stylish ensemble with already selected or possessed items would provide them with greater convenience. In this paper, we propose a fashion item recommendation method that learns the way the fashion items are matched from a large ensemble database. We empirically show that the proposed method can explain factors that affect item matching and recommend the most suitable items to the given set of items.